This document discusses software coding standards and testing. It includes four lessons:
Lesson One discusses coding standards, which define programming style through rules for formatting source code. Coding standards help make code more readable, maintainable, and reduce costs. Common aspects of coding standards include naming conventions and formatting.
Lesson Two discusses software testing strategies and principles. Testing strategies provide a plan for defining the testing approach. Common strategies include analytic, model-based, and methodical testing. Key principles of testing include showing presence of defects, early testing, and that exhaustive testing is impossible.
Lesson Three discusses software testing approaches and types but does not provide details.
Lesson Four discusses alpha and beta testing as
This ppt covers the following
A strategic approach to testing
Test strategies for conventional software
Test strategies for object-oriented software
Validation testing
System testing
The art of debugging
Unit testing is often automated but it can also be done manually. Debugging is a process of line by line execution of the code/ script with the intent of finding errors/ fixing the defects.
It is one of the topics of Software Engineering. Formal Approaches to SQA. It contains the information related to formal approaches and necessity of the approach.
A macro processor is a system software. Macro is that the Section of code that the programmer writes (defines) once, and then can use or invokes many times.
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fundamentals of software engineering.this unit covers all the aspects of software engineering coding standards and naming them and code inspectionna an d various testing methods and
This ppt covers the following
A strategic approach to testing
Test strategies for conventional software
Test strategies for object-oriented software
Validation testing
System testing
The art of debugging
Unit testing is often automated but it can also be done manually. Debugging is a process of line by line execution of the code/ script with the intent of finding errors/ fixing the defects.
It is one of the topics of Software Engineering. Formal Approaches to SQA. It contains the information related to formal approaches and necessity of the approach.
A macro processor is a system software. Macro is that the Section of code that the programmer writes (defines) once, and then can use or invokes many times.
Types of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating systemTypes of operating system
fundamentals of software engineering.this unit covers all the aspects of software engineering coding standards and naming them and code inspectionna an d various testing methods and
Top 10 Practices for Software Testing in 2023.pptxOprim Solutions
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Analysis and Design of Algorithms (ADA): An In-depth Exploration
Introduction:
The field of computer science is heavily reliant on algorithms to solve complex problems efficiently. The analysis and design of algorithms (ADA) is a fundamental area of study that focuses on understanding and creating efficient algorithms. This comprehensive overview will delve into the various aspects of ADA, including its importance, key concepts, techniques, and applications.
Importance of ADA:
Efficient algorithms play a critical role in various domains, including software development, data analysis, artificial intelligence, and optimization. ADA provides the tools and techniques necessary to design algorithms that are both correct and efficient. By analyzing the performance characteristics of algorithms, ADA enables computer scientists and engineers to develop solutions that save time, resources, and computational power.
Key Concepts in ADA:
Correctness: ADA emphasizes the importance of designing algorithms that produce correct outputs for all possible inputs. Techniques like mathematical proofs and induction are used to establish the correctness of algorithms.
Complexity Analysis: ADA seeks to analyze the efficiency of algorithms by examining their time and space complexity. Time complexity measures the amount of time required by an algorithm to execute, while space complexity measures the amount of memory consumed.
Asymptotic Notations: ADA employs asymptotic notations, such as Big O, Omega, and Theta, to express the growth rates of functions and classify the efficiency of algorithms. These notations allow for a concise comparison of algorithmic performance.
Algorithm Design Paradigms: ADA explores various design paradigms, including divide and conquer, dynamic programming, greedy algorithms, and backtracking. Each paradigm offers a systematic approach to solving problems efficiently.
Techniques in ADA:
Divide and Conquer: This technique involves breaking down a problem into smaller subproblems, solving them independently, and combining the solutions to obtain the final result. Well-known algorithms like Merge Sort and Quick Sort utilize the divide and conquer approach.
Dynamic Programming: Dynamic programming breaks down a complex problem into a series of overlapping subproblems and solves them in a bottom-up manner. This technique optimizes efficiency by storing and reusing intermediate results. The Fibonacci sequence calculation is a classic example of dynamic programming.
Greedy Algorithms: Greedy algorithms make locally optimal choices at each step, with the hope of achieving a global optimal solution. These algorithms are efficient but may not always yield the best overall solution. The Huffman coding algorithm for data compression is a widely used example of a greedy algorithm.
Backtracking: Backtracking involves searching for a solution to a problem by incrementally building a solution and undoing the choices that lead to dead-ends.
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Testing is the process of evaluating a system or its component(s) with the intent to find whether it satisfies the specified requirements or not. In simple words, testing is executing a system in order to identify any gaps, errors, or missing requirements in contrary to the actual requirements.
This paper describes the different techniques of testing the software. This paper explicitly addresses the idea for testability and the important thing is that the testing itself-not just by saying that testability is a desirable goal, but by showing how to do it. Software testing is the process we used to measure the quality of developed software. Software Testing is not just about error-finding and their solution but also about checking the client requirements and testing that those requirements are met by the software solution. It is the most important functional phase in the Software Development Life Cycle(SDLC) as it exhibits all mistakes, flaws and errors in the developed software. Without finding these errors, technically termed as ‘bugs,’ software development is not considered to be complete. Hence, software testing becomes an important parameter for assuring quality of the software product. We discuss here about when to start and when to stop the testing of software. How errors or Bugs are formed and rectified. How software testing is done i.e. with the help of Team Work.
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A Sighting of filterA in Typelevel Rite of Passage
Software coding and testing
1. E-Content
on
Software Engineering
UNIT III: Software Coding and Different Types of Testing
Lesson One: Software Coding Standard
Lesson Two: Software Testing Strategy and Principles
Lesson Three: Software Testing Approaches and Types
Lesson Four: Alpha &Beta Testing and Black Box & White Box Testing
Developed by
Dr. Sandeep Kumar Nayak
3. Introduction
When you convert a design document into source code, one of your
primary goals should be to write the source code and internal
documentation in such a way so that it is easy to verify that the
source code conforms to the design, and so that it is easy to debug,
test, and maintain the source code. The coding standard below is
designed to assist you in achieving this goal.
Coding standards define a programming style. It is simply a
set of rules and guidelines for the formatting of source code. Coding
standards, also known as programming styles or coding conventions.
4. Coding Standards
Coding standards define a programming style.
Coding Standards give the program a common look and feel
to understand it easily.
Coding Standards are guidelines for documentation and code
style for the programmer.
It is simply a set of rules and guidelines for the formatting of
source code.
A coding standard does not usually concern itself with wrong
or right in a more abstract sense.
5. Why have Coding Standards?
Reduce the cost of software
maintains is the most often cited
reason to follow coding standards.
80% of the lifetime cost of a piece
of software goes to maintenance.
Coding Standards increases
readability substantially
Any member of a development should be able to read the code
of another member.
6. Why Coding Standards Are Important?
Coding Standards are important for safety, security, and reliability.
Every development team should use a coding standard. Even the
most experienced developer could introduce a coding defect
without realizing it. And that one defect could lead to a minor
glitch. Or worse, a serious security breach.
There are four main drivers for using a coding standard:
Compliance with industry standards (e.g., ISO).
Consistent code quality — no matter who writes the code.
Software security from the start.
Reduced development costs and accelerated time to market.
7. Benefits of Coding Standards
Code Integration
Team Member Integration
Uniform Problem Solving
Minimizes Communication
Minimizes Performance Pitfalls
Saves Money Due to Less Man Hours
In professional environments, the benefits of coding standards
are readability, maintainability & compatibility. In addition,
today’s enterprise solutions are so complex for that some other
benefits are -
8. Coding Rules and Guidelines
Coding rules and guidelines ensure that software is:
Safe: It can be used without causing harm.
Secure: It can’t be hacked.
Reliable: It functions as it should, every time.
Testable: It can be tested at the code level.
Maintainable: It can be maintained, even as your codebase grows.
Portable: It works the same in every environment.
9. Common Aspects of Coding Standards
Here are the some common aspect of coding standards-
Naming Conventions
File Naming and Organization
Formatting and Indentation
Comments and Documentation
Classes, Functions and Interfaces
Pointer and Reference Usage
Testing of code
10. Types of Coding
Standards
Use of comments
Variable names
Function names
Maximum length of a routine (lines of code)
Maximum number of routines within a class
Degree of complexity allowed (nested loops, compound
Boolean testing, etc.)
Naming convention of source code files
11. Source code directory structure for developer machines,
build machines and source code control tools
Source code file contents (i.e. one C++ class per file)
Ways to indicate incomplete code in source.
Types of Coding
Standards
12. Conclusion
The purpose of coding standard is that any developer familiar
with the guidelines can work on any code that followed them.
We need to write code that minimizes the time it would take
someone else to understand it – even if that someone else is you.
Sometimes a coding standard is an accepted practice for a
particular language. For instance, programmers generally accept
that when writing C# source code they will write parameters and
private and protected fields using Camel casing. They will write
all other identifiers using Pascal casing.
13. Lesson Two : Software Testing Strategy and Principles
14. It is very important to achieve optimum test results while
conducting software testing without differing from the goal.
Introduction
Software Testing refers to the process of evaluating attributes
like correctness, completeness, security, consistency,
unambiguousness, quality etc.
If you were to test the entire possible combinations project
execution time and costs would rise exponentially. We need
certain strategies and principles to optimize the testing effort.
15. Software test strategy is a blue print, that describes
the testing approach of the software development cycle. It
is formed to inform project managers, testers, and
developers about some major issues of the testing process.
Software Testing Strategy
The strategy is a plan for defining the testing approach, what
you want to accomplish and how you are going to do it.
A number of software testing strategies are developed in the
testing process. All these strategies provide the tester a
template, which is used for testing.
16. For every stage of development design, a corresponding test
strategy should be created to test the new feature sets.
Testing strategy is not a part of testing. It’s the reflection of
whole quality assurance in SDLC.
The design and architecture of the software are also useful in
choosing testing strategy.
Testing strategies are describe how the software risks of the
stakeholders are moderated at the test-level, which types of testing
are to be performed, and which entry and exit criteria apply.
17.
18. 1.Analytic testing strategy: This uses formal and informal
techniques to access and prioritize risks that arise during software
testing. It takes a complete overview of requirements, design, and
implementation of objects to determine the motive of testing. In
addition, it gathers complete information about the software, targets
to be achieved, and the data required for testing the software.
2.Model-based testing strategy: This strategy tests the functionality
of the software according to the real world scenario (like software
functioning in an organization). It recognizes the domain of data and
selects suitable test cases according to the probability of errors in that
domain.
19. 3.Methodical testing strategy: It tests the functions and status of
software according to the checklist, which is based on user
requirements. This strategy is also used to test the functionality,
reliability, usability, and performance of the software.
4.Process-oriented testing strategy: It tests the software according
to already existing standards such as the IEEE standards. In addition,
it checks the functionality of the software by using automated testing
tools.
20. 5.Dynamic testing strategy: This tests the software after having
a collective decision of the testing team. Along with testing, this
strategy provides information about the software such as test
cases used for testing the errors present in it.
6.Philosophical testing strategy: It tests the software assuming
that any component of the software can stop functioning
anytime. It takes help from software developers, users and
systems analysts to test the software.
21. Test Principles will help you create an effective test strategy and
draft error catching test cases. For that, you need to know some
basic testing principles.
Software Testing Principle
1.Testing shows presence of
defects
2.Exhaustive testing is impossible
3.Early testing
4.Defect clustering
5.Pesticide paradox
6.Testing is context dependent
7.Absence of error – fallacy
Here are the common seven testing principles that are widely
practiced in the software industry.
22. 1. Testing Shows Presence of Defects:
The goal of testing is to make the software fail. Sufficient testing
reduces the presence of defects. In case testers are unable to find
defects after repeated regression testing doesn’t mean that the
software is bug-free.
2. Exhaustive Testing is Impossible:
Testing all the functionalities using all valid and invalid
inputs and preconditions is known as Exhaustive testing.
3. Early Testing:
Defects detected in early phases of SDLC are less expensive to fix.
So conducting early testing reduces the cost of fixing defects.
23. 4. Defect Clustering:
Defect Clustering in software testing means that a small module or
functionality contains most of the bugs or it has the most
operational failures.
5. Pesticide Paradox:
Pesticide Paradox in software testing is the process of repeating the
same test cases again and again, eventually, the same test cases will
no longer find new bugs. So to overcome this Pesticide Paradox, it
is necessary to review the test cases regularly and add or update
them to find more defects.
24. 6. Testing is Context Dependent:
Testing approach depends on the context of the software we
develop. We do test the software differently in different
contexts. For example, online banking application requires a
different approach of testing compared to an e-commerce site.
25. 7. Absence of Error – Fallacy:
It is possible that software which is 99% bug-free is still unusable.
This can be the case if the system is tested thoroughly for the
wrong requirement. Software testing is not mere finding defects,
but also to check that software addresses the business needs. The
absence of Error is a Fallacy i.e.
To solve this problem, the next principle of testing states
that Early Testing.
27. Software Testing is a process, used to identify the correctness,
completeness and quality of developed computer software.
It is the process of executing a program/application under a positive
or negative condition by manual or automated means.
It Checks for the-
Specification
Functionality
Performance
Introduction
28. Software Testing Approach
A test approach is the test strategy implementation of a project,
defines how testing would be carried out. Test approach has
two techniques:
Proactive - An approach in which the test design process is
initiated as early as possible in order to find and fix the
defects before the build is created.
Reactive - An approach in which the testing is not started
until after design and coding are completed.
29. Different Test Approaches
There are many strategies that a project can adopt depending on
the context and some of them are:
Dynamic and heuristic approaches
Consultative approaches
Model-based approach that uses statistical information about failure
rates.
Approaches based on risk-based testing where the entire development
takes place based on the risk
Methodical approach, which is based on failures.
Standard-compliant approach specified by industry-specific standards.
30. Software Testing Types
Software Testing Methodology is defined as strategies and testing
types used to certify that, the application under testing meets the
client expectations.
Each testing methodology has a defined test objective, test
strategy and deliverables.
Software Testing has static and dynamic testing to validate the
software product.
31.
32. Static Testing, a software testing technique in which the software
is tested without executing the code. It has two parts analysis and
review.
Static
Testing
Analysis - The code written by developers are analyzed
(usually by tools) for structural defects that may lead to bugs.
Review - Typically used to find and eliminate errors or
ambiguities in documents such as requirements, design, etc.
33. Dynamic Testing, is a kind of software testing in witch the software
should be compiled & executed.
Dynamic Testing
Dynamic Testing is further classified in two main categories, on the
basis of software functionality.
Functional Testing
Non-Functional Testing
Parameters such as Memory Usage, CPU Usage, Response Time
and Overall Performance of the software are analyzed.
34. Functional Testing, is a type of software testing where the system
is tested against the functional requirements and specifications.
Functional Testing
Functional Testing is divided in two type of testing-
White Box Testing
Black Box Testing
It ensures that the requirements are properly satisfied the software
application or not.
Functional Testing are tested by feeding the input and examining
the output.
35. Testing directly related to the faults remains' in earlier stage or
introduced at coding level. So, each level of testing aim to test
the different aspect of the system.
Unit Testing
Integration Testing
System Testing &
Acceptance Testing
There are four different level of testing used in testing process.
Levels of Functional Testing
36. Non-Functional Testing, is a type of software testing which
checks the non-functional aspects such as performance, usability,
reliability, etc. of a software application.
Non-Functional Testing
It is designed to test the readiness of a system as per nonfunctional
parameters which are never addressed by functional testing.
37. Non-functional testing should increase usability, efficiency,
maintainability, and portability of the product.
Helps to reduce production risk and cost associated with non-
functional aspects of the product.
Optimize the way product is installed, setup, executes, managed
and monitored.
Collect and produce measurements, and metrics for internal
research and development.
Improve and enhance knowledge of the product behavior and
technologies in use.
Objectives Non-Functional Testing
39. In order to be cost effective, testing must be concentrated on
areas where it will be most effective.
Conclusion
Testing usually related to the faults remaining from earlier
stage, that can lead to a heavy distraction.
Testing is just a process in order to make your software
application defect free.
40. Lesson Four : Alpha &Beta Testing and Black Box & White Box Testing
41. Alpha Testing
Alpha Testing is a type of acceptance testing, performed to
identify all possible issues/bugs before releasing the product
to everyday users or the public.
Alpha Testing is carried out in a “Lab Environment” by
the “Testers or Internal Employees” of the organization.
The focus of this testing is to simulate real users by using a
black box and white box techniques. The aim is to carry out
the tasks that a typical user might perform.
42. Beta Testing of a product is performed by “Real Users” of
the software application in a “Real Environment” and can be
considered as a form of external User Acceptance Testing.
Beta Testing
This is a testing stage followed by the internal full alpha test
cycle. This is the final testing phase where the companies
release the software to few external user groups outside the
company test teams or employees.
This initial software version is known as the beta version.
Most companies gather user feedback in this release.
43. Following are the differences between Alpha and Beta Testing:
Alpha Testing Vs Beta Testing
Alpha Testing Beta Testing
It is performed by Testers who are
usually internal employees of the
organization
It is performed by Clients or End
Users who are not employees of
the organization
Alpha Testing performed at
developer's site
It is performed at a client
location or end user
Reliability and Security Testing are
not performed in-depth Alpha
Testing
Reliability, Security, Robustness
are checked during Beta Testing
Alpha testing involves both the
white box and black box techniques
Beta Testing typically
uses Black Box Testing
44. Alpha Testing Beta Testing
Alpha testing requires a lab
environment or testing
environment
Beta testing doesn't require any lab
environment or testing
environment. The software is made
available to the public and is said
to be real time environment
Long execution cycle may be
required for Alpha testing
Only a few weeks of execution are
required for Beta testing
Critical issues or fixes can be
addressed by developers
immediately in Alpha testing
Most of the issues or feedback is
collected from Beta testing will be
implemented in future versions of
the product
Alpha testing is to ensure the
quality of the product before
moving to Beta testing
Beta testing also concentrates on
the quality of the product, but
gathers users input on the product
and ensures that the product is
ready for real time users.
45. White Box Testing
It is also called Glass Box/Clear Box/Structural testing.
White Box testing based on internal prospective of the
system, and programming skills are used to design test case
for testing.
Testing is based on internal code structure of the
application.
Testing usually done at Unit Level Testing.
46. Unit Level Testing
Unit Testing, is a level
of software testing where
individual units/components
of a software are tested.
Code Coverage
Statement Coverage
Branch Coverage
Path Coverage
Unit Level Testing Techniques
47. Black Box Testing
It is also called Behavior/
Specification/ Input-Output
testing.
It is software testing method in
which testing evaluates the
functionality of the software
under the test without looking
at the internal code structure.
48. Equivalence Partitioning
Boundary Value Analysis
Decision Table
State Transition
Black Box Testing Techniques
No knowledge of internal design or code is required.
Test are based on requirement and functionality.
Black Box Testing can be applied at every level (Unit,
Integration, System & Acceptance) of software testing.
49. Differences Between Black Box
Testing and White Box Testing
Black Box Testing White Box Testing
Black Box Testing is a software
testing method in which the
internal structure/ design/
implementation of the item being
tested is NOT known to the tester
White Box Testing is a software
testing method in which the
internal structure/ design/
implementation of the item being
tested is known to the tester.
50. Black Box Testing White Box Testing
Mainly applicable to higher levels
of testing : Acceptance Testing
System Testing
Mainly applicable to lower levels
of testing : Unit Testing
Integration Testing
Generally, independent Software
Testers
Generally, Software Developers
Not Required Required
Not Required Required
Requirement Specifications Detail Design